Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/94150
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Type: Journal article
Title: The use of a chronic disease and risk factor surveillance system to determine the age, period and cohort effects on the prevalence of obesity and diabetes in South Australian adults - 2003-2013
Author: Taylor, A.
Shi, Z.
Montgomerie, A.
Dal Grande, E.
Campostrini, S.
Citation: PLoS ONE, 2015; 10(4):e0125233-1-e0125233-11
Publisher: Public Library Science
Issue Date: 2015
ISSN: 1932-6203
1932-6203
Statement of
Responsibility: 
Anne W. Taylor, Zumin Shi, Alicia Montgomerie, Eleonora Dal Grande, Stefano Campostrini
Abstract: BACKGROUND: Age, period and cohort (APC) analyses, using representative, population-based descriptive data, provide additional understanding behind increased prevalence rates. METHODS: Data on obesity and diabetes from the South Australian (SA) monthly chronic disease and risk factor surveillance system from July 2002 to December 2013 (n = 59,025) were used. Age was the self-reported age of the respondent at the time of the interview. Period was the year of the interview and cohort was age subtracted from the survey year. Cohort years were 1905 to 1995. All variables were treated as continuous. The age-sex standardised prevalence for obesity and diabetes was calculated using the Australia 2011 census. The APC models were constructed with ''apcfit'' in Stata. RESULTS: The age-sex standardised prevalence of obesity and diabetes increased in 2002-2013 from 18.6% to 24.1% and from 6.2% to 7.9%. The peak age for obesity was approximately 70 years with a steady increasing rate from 20 to 70 years of age. The peak age for diabetes was approximately 80 years. There were strong cohort effects and no period effects for both obesity and diabetes. The magnitude of the cohort effect is much more pronounced for obesity than for diabetes. CONCLUSION: The APC analyses showed a higher than expected peak age for both obesity and diabetes, strong cohort effects with an acceleration of risk after 1960s for obesity and after 1940s for diabetes, and no period effects. By simultaneously considering the effects of age, period and cohort we have provided additional evidence for effective public health interventions.
Keywords: Humans; Diabetes Mellitus; Obesity; Body Mass Index; Health Surveys; Risk Factors; Cohort Studies; Cohort Effect; Adult; Aged; Middle Aged; Australia; Female; Male
Rights: © 2015 Taylor et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
RMID: 0030028324
DOI: 10.1371/journal.pone.0125233
Appears in Collections:Medicine publications

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